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RegulatoryFebruary 10, 2026

The Data Problem Behind Every CII and FuelEU Problem

Fleets blame the software when CII forecasts wobble and charter disputes drag. The fault is usually in the noon report, and in who the office trusts to fill it in.

Sit in enough fleet meetings and you hear the same sentence in different rooms: the data isn't clean enough to act on. The CII forecast can't be trusted. The FuelEU figure won't survive the verifier. The charter dispute turns on numbers neither side believes. Each is treated as its own problem. They are one problem, and it sits in the noon report.

This is not a technology gap. Most fleets already capture high-frequency operational data and have the tools to do more. What they lack is discipline around that data, and the discipline is what decides whether anything downstream works. Buying better software on top of unreliable inputs gives you faster wrong answers.

The uncomfortable part is who that discipline depends on. The person best placed to produce clean data is the one filling in the report at the end of a watch, working from memory and rounded figures, and that is the person the shore-side process tends to trust least and equip worst. Fix the data and you have to fix that relationship first.

What bad data quality looks like

  • Reported fuel consumption that doesn't reconcile with bunker records, and nobody closes the loop monthly.
  • Noon reports completed retrospectively at the end of a watch, with rounded numbers pulled from memory.
  • ROB entries that drift across voyages because the manual reconciliation never happens.
  • Weather and sea state taken from the crew's observation without cross-validation, so a gale in the forecast gets logged as moderate.
  • Vessels in the same fleet using slightly different noon report templates, so the data can't be compared.
  • Sister vessels carrying different specific fuel consumption baselines because the trials data was never rebuilt after engine modifications.

None of these is catastrophic on its own. Together they make every downstream analysis unreliable, and the cost lands on whoever has to defend the numbers later.

What it costs

  • CII forecasting becomes a guess. The forecast error band is wider than the annual rating movement, which makes the forecast useless for decisions.
  • FuelEU intensity calculations can't be defended to the verifier without extensive back-reconciliation.
  • ETS allowance settlements take two weeks longer than they should, because owner and charterer are each checking the data against their own separate records.
  • Performance monitoring produces conflicting signals. The technical team says a vessel is underperforming, the crew's noon reports say it isn't, and nobody can prove who is right.
  • Charter disputes happen more often and settle less favorably, because the data doesn't hold up under scrutiny.

What fixing it requires

  • Standardize the template. One noon report format, one validation logic, one reconciliation cadence. It sounds obvious and it is rarely done.
  • Validate at entry, not in the technical office. The crew knows the vessel's behavior better than the shore-side team. A prompt at the moment of entry, 'this consumption is 12% above yesterday's, did the vessel change operational mode?', produces cleaner data than a shore-side correction twenty days later.
  • Reconcile monthly against bunker records and voyage accounting. If the numbers don't tie, investigate at once. Errors found quickly are errors fixed cheaply.
  • Close the loop with the crew. The people producing the data need to know what it is used for and whether their version is trusted. Crews that see their data drive operational decisions produce better data.
  • Treat the data as a single fleet-wide asset. If every manager keeps a separate spreadsheet, the fleet-level view is reconciliation work rather than insight.

There is a pattern worth being honest about. The fleets that perform best on CII, FuelEU, ETS and charter disputes are not the ones running the smartest software. They are the ones with the better data discipline, and everything else compounds from there.

Data quality will not lead anyone's 2026 agenda. It is the thing that decides whether the rest of the agenda holds, and the part of it the office controls least is the part it has to invest in most.

Common questions

Why does maritime data quality matter so much?

Every downstream task, CII, FuelEU, EU ETS and charter-party disputes, runs on the same noon-report data. If that data is rounded, inconsistent or unvalidated, every analysis built on it is unreliable. The fleets that perform best usually have better data discipline, not smarter software.

Want to learn more?

Talk to our team about voyage optimization for your fleet.